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  "text": "Fara-7B is our first agentic small language model for computer use.\n\nWe learned a lot, and looking forward to next steps:\n\n*Agentic models can be small, yet remain capable\n\n*Unlike solutions that rely on chat model wrappers, even  small agentic models can process screenshots and perform direct GUI actions such as scrolling, typing, and clicking.\n\n*Simulation-driven multi-agent synthetic data to automates task  generation, trajectory generation and validation is a way to address the agentic data scarcity gap, and in our case costs < $1 per task.\n\n*Evaluating CUA is hard ; we release WebTailBench, a new eval set with diverse tasks not found in other benchmarks, and  work with an external party, Browserbase, to independently assessed Fara-7B using human annotators.\n\nModel available on Foundry and HuggingFace and can run on device on Copilot+ PC",
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